[ES_JOBS_NET] UChicago Postdoc position - AI emulator fro data assimilation

[Mauricio Ortiz-Riomalo]

Dear all,


The University of Chicago’s Department of Geophysical Sciences and AI for
Climate Initiative
<https://datascience.uchicago.edu/research/aice-ai-for-climate/> (AICE)
invite applications for a postdoctoral researcher to work with Prof Pedram
Hassanzade <https://cam.uchicago.edu/people/profile/pedram-hassanzadeh/> to
work at the interface of data assimilation and machine learning (ML) for
global state analysis of the ocean and atmosphere, with a focus on
biogeochemical cycle.


*Click here
<https://geosci.uchicago.edu/postdoctoral-scholar-ml-emulator-for-data-assimilation/>
to apply* and become part of the UChicago research community.


The postdoc will perform research as part of the new multi-institution
international project, InMOS <https://inmos-obvi.github.io/> (Integration
of models and observations across scales), which aims to produce a robust
global synthesis of the cycling, redistribution, and storage of carbon,
oxygen, and heat in the ocean since pre‐industrial times.


We encourage you to apply for this incredible opportunity if you hold a *PhD
in climate science, applied mathematics, Physics, engineering,
computational science, geosciences, physical oceanography, or a related
field *and have, among other skills/experience:



   - Strong programming and numerical skills;
   - Experience with high-performance computing and analysis of large
   datasets;
   - Ability to work independently and as part of an interdisciplinary team;
   - Experience with machine learning, particularly deep neural networks;
   - Experience with data assimilation.


All the best,

Mauricio Ortiz-Riomalo
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